+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4.1 mini vs Qwen3-235B-A22B
Comprehensive side-by-side LLM comparison
GPT-4.1 mini offers 762.4K more tokens in context window than Qwen3-235B-A22B. Qwen3-235B-A22B is $1.00 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
+
+
+
+
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
14 days newer
GPT-4.1 mini
OpenAI
2025-04-14
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-4.1 mini
Input:$0.40
Output:$1.60
+
+
+
+
Qwen3-235B-A22B
Input:$0.25
Output:$0.75($1.00 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4.1 mini
1 providers
OpenAI
+
+
+
+
Qwen3-235B-A22B
1 providers
+
+
+
+
GPT-4.1 mini
Avg Score:0.0%
Providers:1
+
+
+
+
Qwen3-235B-A22B
Avg Score:0.0%
Providers:1